Faisal Alkulaib, Cert. CII

بعد أكاديمية كاوست

Faisal joined Marsh in November 2025 as an Analyst in Risk Management Practices through the Marsh Risk GOO program. Faisal graduated first in the class in computer science from King Saud University in 2025, and later joined KAUST Academy's AI for Sports program.

المشاريع الصيفية

تخصص الذكاء الاصطناعي · دفعة 2025

Automatic Soccer Penalty Detection (Trajectory of Ball and Goalkeeper)

Detecting the trajectory of the soccer ball and goal keeper with their pose to predict whether the shot would cause a goal. From the collected data we can get statistics such as “Expected Goal on Target (xGOT)”. Furthermore, you can use similarity search from the detections to find similar penalty shots.

اقرأ التقرير النهائي (PDF)

اطّلع عليه في تقرير البرنامج (PDF)

تخصص المعلوماتية الحيوية · دفعة 2024

Enhancing Named Entity Normalization in Biofactoid Using NLP Techniques

Our project focuses on enhancing the accuracy of named entity normalization (NEN) in the Biofactoid web tool, which is used to curate biological interactions from scientific articles. By leveraging natural language processing (NLP) techniques, we aim to reduce common errors, such as orthologue mismatches (gene name is the same in multiple species), improving the reliability of bioentity data. This enhancement will contribute to more accurate mapping of cellular processes, aiding in disease research and therapeutic development.

اقرأ التقرير النهائي (PDF)

اطّلع عليه في تقرير البرنامج (PDF)

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